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Tesla Robot Jobs (NOW HIRING)

Tesla

AI Engineer, Manipulation, Optimus

Palo Alto, CA · On-site

$122K - $151K/yr

Tesla is a company focused on solving robust embodied intelligence through humanoid robots. They are seeking an AI Engineer to design and develop their robotic manipulation software stack and ...

Tesla

Data Collection Operator, Optimus

Palo Alto, CA · On-site

$25.25 - $34.50/hr

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla ... We are looking for someone with enthusiasm for the field of robotics anda strong desireto ...

Tesla

Data Collection Operator, Optimus

Dallas, TX · On-site

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla ... We are looking for someone with enthusiasm for the field of robotics anda strong desireto ...

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Tesla Robot information

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$15

$28

$45

How much do tesla robot jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for tesla robot in the United States is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.93 per hour, depending on experience, location, and employer.

Is it difficult to get hired at Tesla?

Getting hired as a Tesla Robot involves a competitive application process that typically requires relevant technical skills, experience in robotics or engineering, and a strong understanding of automation technologies. Candidates often undergo multiple interview stages, including technical assessments and practical evaluations, making the process challenging for many applicants.

What is a Tesla Robot job?

A Tesla Robot job typically involves working on the development, manufacturing, programming, or maintenance of Tesla's humanoid robot, Optimus. Employees in this role may focus on AI, robotics engineering, software development, or mechanical design to improve the robot's functionality and integration. These roles require expertise in automation, machine learning, and robotics systems to enhance Tesla’s vision for humanoid robots assisting in various tasks.

What tasks can Tesla robots do?

Tesla robots are designed to perform tasks such as carrying objects, assisting with manufacturing processes, and performing repetitive or dangerous work in industrial environments. They are equipped with sensors and AI to navigate and interact with their surroundings, often requiring operators to program or supervise their activities.

What are the key skills and qualifications needed to thrive in the Tesla Robot position, and why are they important?

To thrive as a Tesla Robot Engineer or Technician, you need a strong background in robotics, mechanical engineering, and embedded systems, often supported by a relevant degree and hands-on automation experience. Familiarity with programming languages such as Python or C++, controllers like PLCs, and CAD software is highly valued, as are certifications in robotics or mechatronics. Problem-solving, teamwork, and adaptability are crucial soft skills for responding to unexpected challenges and collaborating on multidisciplinary teams. These competencies enable professionals to drive innovation, maintain high-quality standards, and ensure seamless integration of robotics within Tesla's manufacturing and product environment.

What are the typical daily responsibilities of someone working as a Tesla Robot Engineer or Technician?

As a Tesla Robot Engineer or Technician, your day-to-day duties may include designing, programming, and troubleshooting robotic systems used in Tesla's manufacturing and assembly lines. You might also conduct routine maintenance, perform upgrades, and work closely with other engineers, quality assurance teams, and production staff to optimize performance and minimize downtime. Collaboration on cross-functional projects is common, as is documenting processes and technical findings for continuous improvement initiatives. This role provides a dynamic environment where you’re encouraged to solve complex problems and contribute directly to Tesla's cutting-edge manufacturing innovations.

How much do robotic engineers make at Tesla?

Robotic engineers at Tesla typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. They often work with advanced automation tools and may require knowledge of robotics, programming, and engineering principles.

Will a Tesla robot be able to cook?

Tesla robots are designed to perform tasks such as automation and assistance, but as of now, they are not capable of cooking independently. Developing robots that can handle complex kitchen tasks requires advanced manipulation skills, sensors, and programming, which are still in development for consumer and industrial robots. Future iterations may include cooking capabilities as technology advances.
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Tesla Robot jobs near you
Infographic showing various Tesla Robot job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $58,744 per year, or $28.2 per hour.
Machine Learning Integration Engineer, Tesla AI

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$122K - $164K/yr

Full-time

Posted yesterday

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you’ll transform cutting-edge AI research into deployable, safety-critical systems that power Tesla’s vehicles and humanoid robots, collaborating closely with hardware and firmware teams to improve vehicle systems and customer experience.
Responsibilities:
• Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems
• Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and train end-to-end models for control of all vehicle accessories required for autonomous operation
• Lead a machine learning vertical: define data strategies and labeling pipelines, design network architectures, train models, validate with real-world fleet data, and integrate within Tesla’s AI stack
• Integrate directly with vehicle firmware and ship production-quality, safety-critical software to the entirety of Tesla’s vehicle fleet
• Have an outsized impact by shipping your models to millions of Tesla vehicles worldwide
Qualifications:
Required:
• Strong physics and mathematical fundamentals
• Proficiency in writing production-quality code in Python and experience with any major deep learning framework
• Proficiency in modern C++ to integrate with vehicle firmware and take projects from ideas to shipped products
• Experience designing, training, deploying, and evaluating models on an actual physical platform (e.g., robots, drone, etc.)
• An 'under the hood' knowledge of deep learning modern architectures, optimization, quantization, and model alignment
• Ability to think 'out-of-the-box' to push performance beyond apparent limitations
• Excellent problem-solving, critical thinking, and communication skills
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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